AI Model Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Springfield, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live yesterday
Closes
Dec 19, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $127k
$59k most similar roles pay here $251k

This role pays less than 90% of similar roles. Most pay $154,850–$232,350 — the shaded band above. At the midpoint, this role pays about $127k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 784 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 759 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Model Engineer

As an AI Model Engineer, you will join the team to operationalize Artificial Intelligence and Machine Learning models into production analytical workflows to improve decision advantage across mission areas. You will be responsible for developing, refining, and deploying models while integrating them into workflows to enhance mission efficiency. Your daily work involves collaborating with data scientists and engineers to translate requirements into scalable technical solutions, establishing best practices for model lifecycle management, monitoring, and performance optimization. The role requires proficiency in Python and frameworks like PyTorch or TensorFlow, alongside knowledge of MLOps, version control, and data engineering concepts. You will also manage model reliability and compliance within secure environments. Relevant domain experience includes geospatial data analysis, distributed computing, containerization, and supporting intelligence workflows to solve complex problems in mission-driven environments.

What you'll do

  • Develop, refine, and deploy AI/ML models into production environments.
  • Integrate machine learning models into analytical workflows to improve mission efficiency.
  • Translate stakeholder requirements into scalable technical solutions for data science and engineering teams.
  • Establish best practices for model lifecycle management, monitoring, and performance optimization.
  • Ensure all models meet reliability, reproducibility, and security compliance standards.
  • Evaluate emerging technologies and tools to support ongoing modernization initiatives.

What we're looking for

  • Bachelor’s degree in CS, Data Science, AI, Electrical Engineering, or Applied Mathematics.
  • 5+ years of experience in AI/ML engineering, data science, or software engineering.
  • 3+ years of experience developing, training, and deploying ML models into production environments.
  • Experience building, training, and deploying AI/ML models within secure environments.
  • Proficiency with Python and common ML frameworks such as PyTorch or TensorFlow.
  • Knowledge of data engineering concepts, version control, and MLOps methodologies.
  • Ability to communicate complex technical concepts to various stakeholders.
  • TS/SCI clearance.

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